Design and Development of a Patient Priority System: A Case Study of Malcom Watson Hospital

Healthcare facilities in resource-limited settings face significant challenges in managing patient influx and ensuring timely care for critical cases. Malcom Watson Hospital in Zambia experiences high patient volumes, necessitating efficient case prioritization to enhance care delivery. This study presents the development of a Patient Priority System, leveraging an automated triage scoring algorithm that evaluates factors such as symptoms, severity, and waiting time in real-time. Key features include real-time notifications for critical cases, resource allocation tools, and adaptive monitoring to adjust priority levels based on patient condition changes. The system’s web-based interface enhances usability, enabling healthcare professionals to make informed decisions quickly. By reducing waiting times for urgent cases and optimizing resource utilization, this system offers a scalable solution for improving healthcare outcomes in high-demand settings.

Authors

Publication Details

Journal
International Journal of Advances in Scientific Research and Engineering
Published
2026-11-08
DOI
https://doi.org/10.31695/ijasre.2026.11.1
Primary Topic
Emergency and Acute Care Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Design and Development of a Patient Priority System: A Case Study of Malcom Watson Hospital

Peter Billy Munyenyembe, Micktone Namusiya
International Journal of Advances in Scientific Research and Engineering
Emergency and Acute Care Studies
article

Design and Development of a Patient Priority System: A Case Study of Malcom Watson Hospital

Peter Billy Munyenyembe, Micktone Namusiya
article en

Abstract

Healthcare facilities in resource-limited settings face significant challenges in managing patient influx and ensuring timely care for critical cases. Malcom Watson Hospital in Zambia experiences high patient volumes, necessitating efficient case prioritization to enhance care delivery. This study presents the development of a Patient Priority System, leveraging an automated triage scoring algorithm that evaluates factors such as symptoms, severity, and waiting time in real-time. Key features include real-time notifications for critical cases, resource allocation tools, and adaptive monitoring to adjust priority levels based on patient condition changes. The system’s web-based interface enhances usability, enabling healthcare professionals to make informed decisions quickly. By reducing waiting times for urgent cases and optimizing resource utilization, this system offers a scalable solution for improving healthcare outcomes in high-demand settings.

International Journal of Advances in Scientific Research and Engineering
Emergency and Acute Care Studies
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